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Analysis and Classification of Prosodic Styles in Post-modern Spoken Poetry

dc.contributor.authorMeyer-Sickendiek, Burkhard
dc.contributor.authorHussein, Hussein
dc.contributor.authorBaumann, Timo
dc.contributor.editorBurghardt, Manuel
dc.contributor.editorMüller-Birn, Claudia
dc.date.accessioned2018-09-11T12:30:00Z
dc.date.available2018-09-11T12:30:00Z
dc.date.issued2018
dc.description.abstractWe present our research on computer-supported analysis of prosodic styles in post-modern poetry. Our project is unique in making use of both the written as well as the spoken form of the poem as read by the original author. In particular, we use speech and natural language processing technology to align speech and text and to perform textual analyses. We then explore, based on literary theory, the quantitative value of various types of features in dierentiating various prosodic classes of post-modern poetry using machine-learning techniques. We contrast this feature-driven approach with a theoretically less informed neural networks-based approach and explore the relative strengths of both models, as well as how to integrate higher-level knowledge into the NN. In this paper, we give an overview of our project, our approach, and particularly focus on the challenges encountered and lessons learned in our interdisciplinary endeavour. The classification results of the rhythmical patterns (six classes) using NN-based approaches are better than by feature-based approaches.en
dc.identifier.doi10.18420/infdh2018-09
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17006
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINF-DH-2018
dc.subjectmodern and postmodern poetry
dc.subjectfree verse prosody
dc.subjectrhythmical patters
dc.titleAnalysis and Classification of Prosodic Styles in Post-modern Spoken Poetryen
dc.typeText/Workshop Paper
gi.citation.publisherPlaceBonn
gi.conference.date25. September 2018
gi.conference.locationBerlin, Germany
gi.conference.sessiontitleGI-Workshop

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